A family of SOTA speech models (0.6B & 1.7B) supporting 10 languages. Features prompt-based Voice Design, 3s zero-shot cloning, and extreme low-latency streaming.
The Qwen team just dropped what might be the most comprehensive open-source TTS release we have seen. Qwen3-TTS combines three things that are usually mutually exclusive: SOTA quality, extreme speed, and creative control.
The "Voice Design" feature is really robust—just describing the persona (e.g., "sad old man") works surprisingly well.
Technically, the efficiency is wild. They use a 12Hz tokenizer to compress speech without losing detail, bringing the latency down to just 97ms 🤯
Open source TTS just raised the bar again. If you are building anything with voice, you might wanna check this out.
Qwen3-TTS launched on Product Hunt on January 23rd, 2026 and earned 156 upvotes and 3 comments, placing #7 on the daily leaderboard. A family of SOTA speech models (0.6B & 1.7B) supporting 10 languages. Features prompt-based Voice Design, 3s zero-shot cloning, and extreme low-latency streaming.
On the analytics side, Qwen3-TTS competes within Open Source, Artificial Intelligence and Audio — topics that collectively have 536.5k followers on Product Hunt. The dashboard above tracks how Qwen3-TTS performed against the three products that launched closest to it on the same day.
Who hunted Qwen3-TTS?
Qwen3-TTS was hunted by Zac Zuo. A “hunter” on Product Hunt is the community member who submits a product to the platform — uploading the images, the link, and tagging the makers behind it. Hunters typically write the first comment explaining why a product is worth attention, and their followers are notified the moment they post. Around 79% of featured launches on Product Hunt are self-hunted by their makers, but a well-known hunter still acts as a signal of quality to the rest of the community. See the full all-time top hunters leaderboard to discover who is shaping the Product Hunt ecosystem.
Hi everyone!
The Qwen team just dropped what might be the most comprehensive open-source TTS release we have seen. Qwen3-TTS combines three things that are usually mutually exclusive: SOTA quality, extreme speed, and creative control.
The "Voice Design" feature is really robust—just describing the persona (e.g., "sad old man") works surprisingly well.
Technically, the efficiency is wild. They use a 12Hz tokenizer to compress speech without losing detail, bringing the latency down to just 97ms 🤯
Open source TTS just raised the bar again. If you are building anything with voice, you might wanna check this out.
Demo Here.